NEWS    Bingnan Wang gave seminar talk at WEMPEC in University of Wisconsin-Madison

Date:

October 28, 2022

Description:

MERL researcher Bingnan Wang gave seminar talk at Wisconsin Electric Machines and Power Electronics Consortium (WEMPEC), which is recognized globally for its sustained contributions to electric machines and power electronics technology. He gave an overview of MERL research, especially on electric machines, and introduced our recent work on quantitative eccentricity fault diagnosis technologies for electric motors, including physical-model approach using improved winding function theory, and data-driven approach using topological data analysis to effectively differentiate signals from different fault conditions.

The seminar was given on Teams. MERL researchers Jin Zhang, Dehong Liu, Yusuke Sakamoto and Bingnan Wang held meetings with WEMPEC faculty members before the seminar to discuss various research topics, and met virtually with students after the talk.

External Link:

https://wempec.wisc.edu/seminars/

Research Areas:

Applied Physics, Data Analytics, Multi-Physical Modeling

• Related Publications

   Wang, B., Lin, C., Inoue, H., Kanemaru, M., "Topological Data Analysis for Electric Motor Eccentricity Fault Detection", Annual Conference of the IEEE Industrial Electronics Society (IECON), DOI: 10.1109/​IECON49645.2022.9968912, October 2022, pp. 1-6.

  BibTeX TR2022-130 PDF

  • @inproceedings{Wang2022oct2,
  • author = {Wang, Bingnan and Lin, Chungwei and Inoue, Hiroshi and Kanemaru, Makoto},
  • title = {Topological Data Analysis for Electric Motor Eccentricity Fault Detection},
  • booktitle = {Annual Conference of the IEEE Industrial Electronics Society (IECON)},
  • year = 2022,
  • pages = {1--6},
  • month = oct,
  • doi = {10.1109/IECON49645.2022.9968912},
  • url = {https://www.merl.com/publications/TR2022-130}
  • }